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- W2793670763 abstract "Image quality is a fundamental concern in image compression. There is a lot of noise in image compression process, which may impact on users not getting precise identification. It has, thus, always been neglected in image compression in the past researches. In fact, noise takes a beneficial role in image reconstruction. In this paper, we chose noise as considered and recommended as a coding method for Bayer pattern image based on online dictionary learning. Investigations have depicted that the proposed method in Bayer pattern image coding might develop the rate of distortion performance of Bayer pattern image coding at any rate." @default.
- W2793670763 created "2018-03-29" @default.
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- W2793670763 date "2018-01-01" @default.
- W2793670763 modified "2023-09-22" @default.
- W2793670763 title "Using online dictionary learning to improve Bayer pattern image coding" @default.
- W2793670763 doi "https://doi.org/10.1504/ijcse.2018.10011522" @default.
- W2793670763 hasPublicationYear "2018" @default.
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